IBM Elastic Storage Server

The world’s smartest supercomputers, built on IBM Systems

High-performance computing, IBM Systems Lab Services, Power Systems...

Every year, computers get smarter and faster as they adapt to emerging technology challenges. Collaborating on these industry-leading computing solutions is an exciting frontier. As we begin a new year, IBM Systems Lab Services is wrapping up our largest contract to date on one such project — a collaborative high-performance computing (HPC) endeavor by the ...read more


IBM Elastic Storage Server adds Storage Utility Offering option

Power servers, Power Systems, Software...

IBM introduces a flexible procurement method that aligns your unstructured data capacity costs to your business initiatives. Buy scale-out file and object storage with cognitive data management your way. Unstructured data creation continues at an explosive and accelerating rate and does not appear to be slowing down. Customers are looking to their trusted IT partners ...read more


Meeting the data needs of artificial intelligence

AI, Deep learning, Disk storage...

Artificial intelligence (AI) is playing an increasingly critical role in business. By 2020, 30 percent of organizations that fail to apply AI will not be operationally and economically viable, according to one report[1].  And in a survey, 91 percent of infrastructure and operations leaders cite “data” as a main inhibitor of AI initiatives[2]. What does ...read more


Software-defined storage: How to get started

Cloud object storage, Flash storage, Software...

Software-defined storage (SDS) has gained momentum in the enterprise IT market. The adoption of SDS among forward-thinking organizations is being driven in part by IT cost reduction, automation and infrastructure flexibility needs. SDS provides a means to transition from storage area network (SAN) storage and network-attached storage (NAS), and to scale-out architectures that use server-rich ...read more


Five important considerations for HPC deployments

AI, Deep learning, High-performance computing...

Architecting superior high-performance computing (HPC) clusters requires a holistic approach that responds to performance at every level of the deployment. HPC workloads put massive computational demands on your infrastructure: they involve analyzing huge data sets to solve complex problems, and that means they require supercomputing capabilities. In short, there are many facets to the HPC ...read more


Elastic Storage Server: Networking is what it’s all about!

IBM Systems Lab Services, Integrated infrastructure, Power servers...

I was recently in a training session about IBM Elastic Storage Server (ESS)—a high-performance IBM Spectrum Scale storage solution—in which a colleague remarked, “It’s all about the network.” Why, you might ask, would networking be so essential? In my previous post about ESS, I focused on the three keys to a successful implementation: pre-planning, network ...read more


An optimized platform for big data and machine learning

Big data & analytics, Deep learning, Power servers...

For organization leaders seeking to deploy the most efficient platform for big data analytics, machine learning, deep learning and cognitive applications, IBM and Hortonworks have partnered to certify IBM Spectrum Scale with Hortonworks Data Platform (HDP) on x86 servers. This adds to previous certifications for IBM Spectrum Scale and HDP on IBM Power servers. IBM ...read more


Fast data: The future of big data

Data security, Integrated infrastructure, Internet of things...

It’s not news that big data is getting bigger by the second.  However, in addition to sheer volume, there is also increasing demand to take action faster than ever based on the data.  An organization’s leaders want to gain a competitive advantage by turning raw data into actionable intelligence. How can they quickly and efficiently ...read more


IBM at DataWorks Summit: The future of data science

Cloud computing, Hybrid cloud storage, Power servers...

Marketplace disruptors have one thing in common: data science. Data science is the process of discovering hidden insights from massive amounts of structured and unstructured data, using methods such as machine learning, data mining and predictive analytics. This multi-disciplinary approach is changing the way organizations solve problems and gain competitive advantage. Join IBM at the ...read more